{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc758f38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "特征数组的形状：(178, 13)\n",
      "特征数组的形状：(178, 13)\n"
     ]
    }
   ],
   "source": [
    "# 数据加载及切片\n",
    "import pandas as pd\n",
    "\n",
    "# 定义数据集的列名\n",
    "file_path = 'item4/wine.data'\n",
    "names = ['label','a1','a2','a3','a4','a5','a6','a7','a8','a9','a10','a11','a12','a13']\n",
    "dataset = pd.read_csv(file_path, names=names)\n",
    "\n",
    "#print(\"葡萄酒数据集如下：\")\n",
    "#print(dataset) \n",
    "\n",
    "\n",
    "# 分别提取数据集的特征变量与标签\n",
    "data = dataset.iloc[range(0, 178),range(1, 14)]   # 特征变量（所有行，第2到最后一列）\n",
    "target = dataset.iloc[range(0, 178),range(1, 14)] # 标签（所有行，第1列）\n",
    "print(f\"特征数组的形状：{data.shape}\")\n",
    "print(f\"特征数组的形状：{target.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11cabe4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a 1 中异常值： []\n",
      "a 2 中异常值： [5.8 5.51 5.65]\n",
      "a 3 中异常值： [1.36 3.22 3.23]\n",
      "a 4 中异常值： [10.6 30.0 28.5 28.5]\n",
      "a 5 中异常值： [151.0 139.0 136.0 162.0]\n",
      "a 6 中异常值： []\n",
      "a 7 中异常值： []\n",
      "a 8 中异常值： []\n",
      "a 9 中异常值： [3.28 3.58]\n",
      "a 10 中异常值： [10.8 13.0 11.75 10.68]\n",
      "a 11 中异常值： [1.71]\n",
      "a 12 中异常值： []\n",
      "a 13 中异常值： []\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 15 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 画箱形图\n",
    "plt.rcParams['axes.unicode_minus']=False\t# 正常显示负号\n",
    "data.plot(kind='box',subplots=True,layout=(3,5),sharex=False,sharey=False)\n",
    "\n",
    "# 查找异常数据并输出\n",
    "p=data.boxplot(return_type='dict')\t    # 返回字典类型数据\n",
    "for i in range(13):\n",
    "    y=p['fliers'][i].get_ydata() \t    # 查找异常数据\n",
    "    print('a',i+1,'中异常值：',y)\t\t  # 输出异常数据\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml-course",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
